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The hydrated gel hyaluronic acid (HA) comprises repeating units of glucuronic acid and N-acetylglucosamine. HA production has a lot of significance in the present day scenario owing to its clinical applications. Fermentative optimization is carried out in two steps. Statistical optimization of media components for the production of HA using Taguchi and Response Surface Methodology (RSM) was studied using a mutant strain Streptococcus zooepidemicus 3523-7. Initial optimization was carried out using L27 orthogonal array. The significance of each factor with respect to HA production was identified using Taguchi design (Glucose, Yeast extract, K2HPO4, NaH2PO4, NaCl, NH4Cl, 1M MgSO4 and Trace metal mix (TMM)) and the productivity was increased 1.34 folds (738 to 988 mg/L) over native production medium. The outcome of Taguchi results indicates the glucose, yeast extract, K2HPO4 and NH4Cl are most influencing factors in the production of HA. Final optimization was carried out using RSM (Central Composite Rotatable Design) and the production was significantly enhanced to 1.4 folds (988 to 1386 mg/L). For the first time statistical optimization was carried out using a mutant strain Streptococcus zooepidemicus 3523-7 and high yield (1386 mg/L) of HA was achieved.

international journal of advanced science and technology

Cost Effective Media Optimization for the Enhanced Production of Hyaluronic Acid Using a Mutant Strain Streptococcus zooepidemicus 3523–7: A Statistical Approach